What the data for this category looks like
Daily documents for this category include service guidelines, application forms, commitment letters, acceptance notices, correction notifications, administrative licensing approval decisions, and license documents. Data is sourced from the national integrated government service platform item database, administrative licensing item list, departmental business approval systems, and electronic certificate repository, and is updated daily. Data fields include legal licensing item boundaries, application material details, electronic certificate numbers, approval process nodes, and more. Configurations must strictly match item setting bases and handling conditions, with legal licensing items as the business boundary.
What constraints do these characteristics impose on the model access and configuration link
Multi-source cross-department data sources require model access to support context splicing of multi-format texts, and parameters adapted for long texts must be configured. Daily updated data characteristics require configuration items to support dynamic synchronization threshold adjustment, to prevent expired data from participating in review. Legal licensing item boundaries require the model to strictly match the preset list, and must not generate results beyond the item scope. The text length of application materials and files varies greatly, so appropriate context parameters must be configured to adapt to long text processing, and format verification for legal documents must also be supported.
How to Set Configurations
| Configuration Item | Recommended Value Range | Basis for This Setting |
|---|---|---|
maxContext | 8000–12000 token | Adapt to the long text splicing requirements of declaration materials and files, covering the total length of multi-source government documents |
maxTokens | 2000–3000 token | Control the length of approval opinions or correction content output in a single review round, conforming to the standard format of government documents |
quoteMaxToken | 1500 token | Limit the length of reference texts such as quoted service guidelines and item lists, avoiding redundant information interfering with matching |
temperature | 0.1–0.3 | Maintain the rigor of review results, avoiding generating discretionary content that does not meet legal requirements |
toolChoice | auto | Automatically call tools to retrieve electronic certificates or cross-department data, adapting to the multi-link verification requirements of administrative licensing |
AIPROXY_API_ENDPOINT | Fill in according to the deployed model service address | Adapt to the model deployment specifications of FastGPT v4.17.0, ensuring that data does not flow out of the government intranet |
Three Common Misconfigurations
- Phenomenon: The model triggers a context truncation error during operation, and the returned result lacks part of the application material content. Cause: The
maxContextparameter set during model deployment is not synchronized with the FastGPT platform configuration items, resulting in parameter mismatch. - Phenomenon: After enabling the reranking model, a timeout prompt appears in the review process. Cause: The call timeout threshold of the reranking model is not adapted to the long text processing of government documents, or appropriate recall limit settings are not configured.
- Phenomenon: Streaming output is interrupted or no result is returned. Cause: The streaming support parameters of the model service are not correctly configured, or the docking configuration of
AIPROXY_API_ENDPOINThas errors.
How to Verify Successful Configuration
- Upload a single complete set of declaration materials and the corresponding service guidelines, check whether the matching results returned by the model cover all required application material fields.
- Adjust the
temperatureparameter to different ranges, verify whether the rigor of the output results meets the requirements of government review. - Check the platform logs to confirm that the response time of cross-department data calls meets the preset business time limit requirements.
- Test the enabled and disabled states of the reranking model, compare the time consumption changes of the review process, and confirm that the configuration takes effect.
The values provided are common starting points and should be evaluated against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.